arXiv 2610.16811 · cs.CV · 2026-10-12
X-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning
Yi Wang, Zhenlong Yuan, Yuchan Guo, Maolei Huang, Zijian Song, Dapeng Zhang, Rongbin Tan, Jiyuan Wang 等 12 人
Carnegie Mellon University
在最新榜 #262 本站收录于 2026-10-21
一句话要点
X-Ragent 用工具增强强化学习训练胸片推理，学会何时调用辅助证据、过滤不适用的量化证据。
X-Ragent uses tool-augmented RL for chest X-ray reasoning, learning when to call auxiliary evidence and when to ignore it.
阅读 arXiv 原文 PDF Hugging Face 讨论
主题与学科
同主题：强化学习
- Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation ▲218
- Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight ▲189
- LoGRA: Scaling LLM Reinforcement Learning with Low-Rank Gradient Sketches ▲152
- Sharpening Tax in Post-Training ▲111
- RULER: Instance-aware Rubric Rewards for SVG Generation ▲104
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。